AIASS'19: Artificial Intelligence Applications for Smart Societies: Recent Advances |
Abstract registration deadline | September 30, 2019 |
Submission deadline | October 31, 2019 |
AIASS'19: Artificial Intelligence Applications for Smart Societies: Recent Advances
Call for Book Chapters
Recent advances in Artificial intelligence have resulted in impact on smart societies such as retail, security, defense, manufacturing, transportation, search, social networking and advertising. AI can be a major force for smart societies; it depends in part on how we shape this new technology and the questions we use to inspire young researchers. Currently there is a significant spotlight on the future ethical, safety, and legal concerns of future applications of AI. While understanding and grappling with these concerns, and shaping the long-term future, is a legitimate aspect of future AI research and policy making decisions, we must not ignore the societal benefits that AI is delivering and can deliver in the near future, and how our actions today can shape the future of AI.
In this book, the successful deployments and the potential use of AI in various topics that are essential for smart societies were discussed. This book highlights each of these as well as a number of crosscutting issues.
Intelligent Sensing Applications for Smart Societies
Emerging technologies such as the integration of WSN and mobile applications, the use of intelligent platforms and simulations to test WSN applications, advances in accessibility, reliability, and security issues of IoT infrastructures, development of real-time information systems for applications including I2P (infrastructure to pedestrian), V2I (vehicle to infrastructure), V2V (vehicle to vehicle), or V2P (vehicle to pedestrian), and the use of artificial intelligence (AI) techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control.
-
Simulation, deployment, and testbed platforms for WSNs in Smart Cities
-
Accessibility, resilience, and security of IoT infrastructures for Smart Cities
-
Real-time information systems for intelligent transportation systems in Smart Cities
-
Mobile apps and WSN applications integrated in Smart Cities
-
AI techniques for devices and embedded systems in Smart Cities
-
data processing (on nodes, distributed, aggregation, discovery, big data);
-
self-learning (pattern discovery, prediction, auto-configuration);
-
computing and sensing infrastructures;
Artificial Intelligence based IoT Systems for Smart societies
The Internet of Things (IoT) combines sensors, controllers, people and things using communication technologies to realize the intelligent transmission and processing of information. It has been widely applied in fields such as traffic management, medical health, smart homes and energy. To effectively integrate big data technologies into IoT systems and transmit useful information, artificial intelligence is being introduced. Artificial intelligence can extract and sort useful information from big data in IoT systems using advanced technologies that include machine learning, evolutionary computation, probabilistic methods and fuzzy systems.
-
Evolutionary algorithms for data mining in IoT based smart societies
-
Cloud computing-based evolutionary algorithms for IoT
-
Artificial intelligence algorithms for processing medical data in IoT
-
Machine learning for data processing in IoT based smart societies
-
Intelligent face recognition system using neural learning for smart security in IoT
-
Distributed attack detection using a deep neural network approach for IoT
-
Modeling and optimizing features selection in data system-based social IoT
Crowdsourcing and Pervasive Computing for Smart Cities
With the rapid development of metropolitan areas, urban problems, such as environment pollution, traffic congestion and increased energy consumption, increase more and more. Smart cities are emerging as a novel and promising paradigm to tackle existing problems and avoid potential issues in our cities. Recently, with the pervasive usage of intelligent equipment – e.g., GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices, Crowdsourcing (CS) enables citizens to collect and share data to make our cities smart. MCS can be applied in several urban scenarios, including traffic planning, mobile social recommendation, public safety, and so on.
-
Crowdsourcing systems and services for smart cities
-
Network communications technology for smart cities
-
Human mobility models for smart cities
-
Application of pervasive and mobile computing technology for smart cities
-
Safety, security, privacy and trust in applications and services for smart cities
-
Fault tolerance, reliability and survivability in smart cities
-
Multi-sourced heterogeneous data acquisition and fusion for smart cities
-
Case studies and test beds.
Submission Guidelines
Submitted manuscripts should conform to the standard guidelines of Springer book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically through Easychair submission system or email through this email: [ Mohamed_elhoseny@mans.edu.eg , Mohamed.elhoseny@unt.edu] Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance.
Editors
Dr. Mohamed Elhoseny: Faculty of Computers and Information, Mansoura University, Egypt, Email: Mohamed_elhoseny@mans.edu.eg
Dr. K. Shankar: Department of Computer Applications, Alagappa University, Karaikudi, India. Email: shankarcrypto@gmail.com
Dr. Mohamed Abdel-Basset: Faculty of computers and informatics, Zagazig University, Egypt. Email: analyst_mohamed@zu.edu.eg
Publication
AIASS'19 will be published by book series on Studies in Distributed Intelligence (Scopus Indexed) by Springer.
Contact
All questions about submissions should be emailed to mohamed_elhoseny@mans.edu.eg or shankarcrypto@gmail.com or analyst_mohamed@zu.edu.eg